Al Vader retweetledi
Al Vader
196.7K posts

Al Vader
@al_vader85
ex-PHD CERN | femboy enjoyer | under construction
Among the Stars Katılım Mayıs 2011
605 Takip Edilen2.1K Takipçiler
Al Vader retweetledi
Al Vader retweetledi

Espectacular colección de componentes animados.
+100 disponibles. De código abierto y sin coste:
→ github.com/kokonut-labs/k…
Español
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UI/UX Designers, here are my go-to best design resource sites on the internet you should bookmark:
Design Library → curations.supply
Landing Pages → landing.love
Saas Websites → saaspo.com
Navbar → navbar.gallery
Fonts → uncut.wtf
Animation → 60fps.design
Mobile Apps → mobbin.com/?via=abraham
Brands → rebrand.gallery
Icons → hugeicons.com/?via=Abraham
Design Systems → component.gallery

English
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Go-to sites for design inspiration
Web design → curated.design
Landing pages → onepagelove.com
Design systems → component.gallery
Animation → appmotion.design
Apps → mobbin.com
Brands → rebrand.gallery

English
Al Vader retweetledi

The only logo inspiration sites you need in 2026:
1. logosystem.co
2. logggos.club
3. brandarchive.xyz
4. cosmos.so
5. are.na
6. logobook.com
7. rebrand.gallery
8. underconsideration.com/brandnew
9. logo-archive.org
10. pinterest.com 🐐




English

Video Dither / ASCII Effect Pro
You Can Save Video!
Free to Use:
codepen.io/sabosugi/full/…
Support me by PayPal 🙏🏻
paypal.com/paypalme/sabos…
#effect #ascii #dither #webgl #shaders
English
Al Vader retweetledi
Al Vader retweetledi
Al Vader retweetledi
Al Vader retweetledi
Al Vader retweetledi
Al Vader retweetledi

Elon Musk says the Tesla Chip Design team is utilizing Grok.
The convergence is strong!

Elon Musk@elonmusk
I must give @AnthropicAI credit here: Opus 4.5 is outstanding. They are doing particularly excellent work at the pretraining level. However, Grok wins when applied to logic (software is just logic at scale) that isn’t in the Opus pretraining. For example, the Tesla chip design team prefers Grok to Opus even when I asked them to try Opus.
English
Al Vader retweetledi
Al Vader retweetledi

You can now train LLMs 3× faster with no accuracy loss, via our new RoPE and MLP kernels.
Our Triton kernels plus smart auto packing delivers ~3× faster training & 30% less VRAM vs optimized FA3 setups.
Train Qwen3-4B 3x faster on just 3.9GB VRAM.
Blog: docs.unsloth.ai/new/3x-faster-…

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